Kurosh Ameri

1.8k citations
25 papers · 1.4k · h-index 15

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 3
    • Mitochondrial Function and Pathology 3
    • TGF-β signaling in diseases 2
    • Cancer, Hypoxia, and Metabolism 10

Kurosh Ameri

22 papers receiving 1.4k citations

Peers

Kurosh Ameri
Comparison fields: 5 of 100
  • Cancer Research 368
  • Cell Biology 330
  • Molecular Biology 844
  • Aging 16
  • Immunology 183
Replace Keisuke Nimura with:
Keisuke Nimura Japan
Hagar Kalinski Israel
Yoshikazu Johmura Japan
Feyza Engin United States
Alexes C. Daquinag United States
Manuel Rodríguez‐Paredes Germany
Seung‐Yoon Park South Korea
Victoriano Baladrón Spain
Kurosh Ameri relative to Keisuke Nimura Japan Keisuke Nimura's profile →
Citations per field
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Keisuke Nimura · 1×
Citations per year

Countries citing papers authored by Kurosh Ameri

Since Specialization
Citations

This map shows the geographic impact of Kurosh Ameri's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kurosh Ameri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kurosh Ameri more than expected).

Fields of papers citing papers by Kurosh Ameri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kurosh Ameri. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kurosh Ameri. The network helps show where Kurosh Ameri may publish in the future.

Co-authors

The 25 scholars most cited alongside Kurosh Ameri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kurosh Ameri Line = papers co-authored together Kurosh Ameri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007433
2 2001142
3 2003139
4 2005130
5 2010104
6 2014101
7 201580
8 200666
9 200554
10 201332
11 201826
12 201324
13 201722
14 201518
15 200216
16 201713
17 201911
18 20065
19 20214
20 20251

About Kurosh Ameri

Kurosh Ameri is a scholar working on Molecular Biology, Cancer Research, Physiology, Surgery and Epidemiology, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (10 papers), Adipose Tissue and Metabolism (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Mitochondrial Function and Pathology (3 papers), Mesenchymal stem cell research (2 papers), Cancer Research and Treatments (2 papers), TGF-β signaling in diseases (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Cancer Research (368 citations), Cell Biology (330 citations), Molecular Biology (844 citations), Aging (16 citations) and Immunology (183 citations). Kurosh Ameri has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Adrian L. Harris, Martin Kristian Raida, Claire E. Lewis, Emin Maltepe, Russell Leek, Joachim H. Clement, B. F. Burke, Tsonwin Hai, Heidi Sowter and Kevin P. Corke. Their work appears in journals such as PLoS ONE, British Journal of Cancer, Endocrinology, Oncology Reports and The International Journal of Biochemistry & Cell Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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